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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
30.04.2024
DOI
https://doi.org/10.7307/ptt.v36i2.411
ISSUE
2024 (Vol 36), Issue 2
LICENSE
Copyright (c) 2024 Ling Wang, Qi Wang
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Eco-Efficiency Evaluation of Integrated Transportation Hub Using Super-Efficiency EBM Model and Tobit Regressive Analysis – Case Study in China

Authors:Ling Wang, Qi Wang

Abstract

The transportation industry is a key area for ecological civilisation construction and low-carbon development. As the core support of the  national integrated transportation system, the ecological development level of integrated transportation hub (ITH) is crucial for enhancing 
the sustainable development capacity of the national integrated transportation. An eco-efficiency evaluation index system of ITH is established  in this study and the eco-efficiencies of twenty international ITHs in China are comprehensively evaluated based on the super-efficient epsilon-based measure (EBM) model. Then the panel Tobit regression model is adopted to analyse the influencing factors of eco-efficiency. The results  show that the average eco-efficiency of ITHs in China during 2011–2021 declines first and then rises, with a relatively high level overall but not efficient yet, and there is an obvious gradient distribution characteristic in all eco-efficiencies. Among them, Guangzhou ranks first, followed by  Haikou, and Harbin ranks last. It is found that integrated transportation efficiency, urban green coverage, level of opening-up and economic development improve eco-efficiency significantly, while urbanisation rate, industrial structure and technology input have a negative impact. The  results are consistent with the actual situation, verifying the practicality of models, and can be used to promote the sustainable development of integrated transportation.

Keywords:integrated transportation hub, eco-efficiency, super-efficient EBM model, Tobit regression model

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